'How do I use keras's conv2D just to reduce the shape of input data?

I have a matrix of dimensions (611024). I want to use convolution and max-pooling operations to convert it into (L1024) dimensions. I don't want to train a model or anything but just need to perform this operation.

Precisely, I have a data frame of size (61*1024). I want to use layer1 over that dataframe and get the results after the operation.

  layer1 =  Conv2D(32, (3, 3), activation='relu', input_shape=(61, 1024, 1)

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'How do I use keras's conv2D just to reduce the shape of input data?

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